1pUW1. Partially adaptive matched-field processing.

Session: Monday Afternoon, June 16

Time: 1:45

Adaptive array processing using a quiescent, or conventional, beamformer
with adaptive noise cancellation have been implemented for signals based upon
plane-wave representations. They have an estimator/subtractor structure and can
be interpreted as generalized sidelobe cancellors. One of the useful features of
this implementation is that the dimensionality of the adaption space can be
reduced from the number of array sensors. While this reduction leads to a
partially adaptive processor, it can lead to better performance in applications
which are degrees of freedom deficient, or where the number of snapshots is less
than the number of sensors, such as large arrays with short-term stationary
fields or active systems. Sidelobes in the range/depth ambiguity plane and a
sparse number of snapshots are both problems in current matched-field
processing. The partially adaptive array leads to an implementation which has
both the useful properties of the conventional processor and adaptive sidelobe
cancellation in a reduced dimension space.